Description
Book SynopsisTensorFlow is a one-stop solution for building, monitoring, optimizing,and deploying your models. This practical guide to building deep learning models with the new features of TensorFlow 2.0is filled with engaging projects, simple language, and coverage of the latest algorithms.
TensorFlow 2.0 in Action teaches you to use the new features of TensorFlow 2.0 to create advanced deep learning models. You'll learn by building hands-on projects including an image classifier that can recognize objects, a French-to-English machine translator, and even a neural network that can write fiction. You'll dive into the details of modern deep learning techniques including both transformer and attention models, and learn how pretrained models can solve your tricky data science- problems.
TensorFlow is the go-to framework for putting deep learning into production. Created by Google, this ground breaking tool handles repetitive low-level operations and frees you up to focus on innovating your AIs.TensorFlow encompasses almost every element of a deep learning pipeline—aone-stop solution for building, monitoring, optimizing, and deploying your models.
Trade Review“Excellent explanations and walk throughs to help bring you up to speed in Tensorflow 2.” Todd Cook
“The illustrations of technical concepts are excellent.” BrianGriner
“A hands-on introduction to effective Tensorflow use for real worlds problems.” Francisco Rivas
“Mr Ganegedara goes to great lengths, with the exemplary use of many figures, to explain not only TensorFlow 2 solutions themselves but also the mechanics of the technology. Highly recommended!” TonyHoldroyd
“An excellent resource to learning Tensorflow 2.0 using practical examples.” Biswanath Chowdhury
“The conversation on writing custom layer was probably the best discussion on that I've ever seen. I learned a lot from that chapter.” LeviMcClenny
“In you want to gain a deep knowledge of deep learning, read this book.”Tiklu Ganguly
